UFC

Dataset statistics

Number of variables	24
Number of observations	5144
Missing cells	573
Missing cells (%)	0.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	964.6 KiB
Average record size in memory	192.0 B

Variable types

Numeric	14
Categorical	10

Warnings

`R_fighter` has a high cardinality: 1334 distinct values	High cardinality
`B_fighter` has a high cardinality: 1774 distinct values	High cardinality
`Referee` has a high cardinality: 190 distinct values	High cardinality
`date` has a high cardinality: 476 distinct values	High cardinality
`location` has a high cardinality: 157 distinct values	High cardinality
`Unnamed: 0` is highly correlated with `#`	High correlation
`#` is highly correlated with `Unnamed: 0`	High correlation
`B_total_rounds_fought` is highly correlated with `B_wins`	High correlation
`B_wins` is highly correlated with `B_total_rounds_fought`	High correlation
`R_total_rounds_fought` is highly correlated with `R_wins`	High correlation
`R_wins` is highly correlated with `R_total_rounds_fought`	High correlation
`B_Stance` has 159 (3.1%) missing values	Missing
`R_Stance` has 134 (2.6%) missing values	Missing
`B_age` has 172 (3.3%) missing values	Missing
`R_age` has 64 (1.2%) missing values	Missing
`Unnamed: 0` is uniformly distributed	Uniform
`#` is uniformly distributed	Uniform
`date` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`#` has unique values	Unique
`B_losses` has 2036 (39.6%) zeros	Zeros
`B_total_rounds_fought` has 1265 (24.6%) zeros	Zeros
`B_wins` has 1813 (35.2%) zeros	Zeros
`R_losses` has 1456 (28.3%) zeros	Zeros
`R_total_rounds_fought` has 650 (12.6%) zeros	Zeros
`R_wins` has 1065 (20.7%) zeros	Zeros

Reproduction

Analysis started	2021-03-02 15:07:30.763559
Analysis finished	2021-03-02 15:08:38.130167
Duration	1 minute and 7.37 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	5144
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2571.5
Minimum	0
Maximum	5143
Zeros	1
Zeros (%)	< 0.1%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	257.15
Q1	1285.75
median	2571.5
Q3	3857.25
95-th percentile	4885.85
Maximum	5143
Range	5143
Interquartile range (IQR)	2571.5

Descriptive statistics

Standard deviation	1485.089223
Coefficient of variation (CV)	0.5775186556
Kurtosis	-1.2
Mean	2571.5
Median Absolute Deviation (MAD)	1286
Skewness	0
Sum	13227796
Variance	2205490
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
641	1	< 0.1%
2612	1	< 0.1%
565	1	< 0.1%
4663	1	< 0.1%
2616	1	< 0.1%
569	1	< 0.1%
4667	1	< 0.1%
2620	1	< 0.1%
573	1	< 0.1%
Other values (5134)	5134	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
5143	1	< 0.1%
5142	1	< 0.1%
5141	1	< 0.1%
5140	1	< 0.1%
5139	1	< 0.1%

#
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	5144
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2571.5
Minimum	0
Maximum	5143
Zeros	1
Zeros (%)	< 0.1%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	257.15
Q1	1285.75
median	2571.5
Q3	3857.25
95-th percentile	4885.85
Maximum	5143
Range	5143
Interquartile range (IQR)	2571.5

Descriptive statistics

Standard deviation	1485.089223
Coefficient of variation (CV)	0.5775186556
Kurtosis	-1.2
Mean	2571.5
Median Absolute Deviation (MAD)	1286
Skewness	0
Sum	13227796
Variance	2205490
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
641	1	< 0.1%
2612	1	< 0.1%
565	1	< 0.1%
4663	1	< 0.1%
2616	1	< 0.1%
569	1	< 0.1%
4667	1	< 0.1%
2620	1	< 0.1%
573	1	< 0.1%
Other values (5134)	5134	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
5143	1	< 0.1%
5142	1	< 0.1%
5141	1	< 0.1%
5140	1	< 0.1%
5139	1	< 0.1%

R_fighter
Categorical

HIGH CARDINALITY

Distinct	1334
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

Jim Miller	23
Donald Cerrone	22
Diego Sanchez	21
Demian Maia	21
Michael Bisping	21
Other values (1329)	5036

Length

Max length	25
Median length	13
Mean length	12.88374806
Min length	7

Characters and Unicode

Total characters	66274
Distinct characters	56
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	440 ?
Unique (%)	8.6%

Sample

1st row	Henry Cejudo
2nd row	Valentina Shevchenko
3rd row	Tony Ferguson
4th row	Jimmie Rivera
5th row	Tai Tuivasa

Value	Count	Frequency (%)
Jim Miller	23	0.4%
Donald Cerrone	22	0.4%
Diego Sanchez	21	0.4%
Demian Maia	21	0.4%
Michael Bisping	21	0.4%
Matt Hughes	20	0.4%
Anderson Silva	20	0.4%
Frank Mir	19	0.4%
Joe Lauzon	19	0.4%
Ross Pearson	19	0.4%
Other values (1324)	4939	96.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
matt	87	0.8%
chris	71	0.7%
john	67	0.6%
silva	66	0.6%
mike	63	0.6%
thiago	62	0.6%
mark	56	0.5%
johnson	54	0.5%
joe	53	0.5%
michael	50	0.5%
Other values (1890)	9834	94.0%

Most occurring characters

Value	Count	Frequency (%)
a	6349	9.6%
e	5527	8.3%
	5319	8.0%
n	4585	6.9%
i	4463	6.7%
o	4367	6.6%
r	4326	6.5%
l	2686	4.1%
s	2679	4.0%
t	2095	3.2%
Other values (46)	23878	36.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50266	75.8%
Uppercase Letter	10641	16.1%
Space Separator	5319	8.0%
Dash Punctuation	36	0.1%
Other Punctuation	12	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
M	1124	10.6%
J	924	8.7%
S	872	8.2%
C	755	7.1%
D	692	6.5%
R	675	6.3%
B	621	5.8%
A	620	5.8%
T	540	5.1%
P	488	4.6%
Other values (16)	3330	31.3%

Value	Count	Frequency (%)
a	6349	12.6%
e	5527	11.0%
n	4585	9.1%
i	4463	8.9%
o	4367	8.7%
r	4326	8.6%
l	2686	5.3%
s	2679	5.3%
t	2095	4.2%
u	1636	3.3%
Other values (16)	11553	23.0%

Value	Count	Frequency (%)
'	8	66.7%
.	4	33.3%

Value	Count	Frequency (%)
	5319	100.0%

Value	Count	Frequency (%)
-	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60907	91.9%
Common	5367	8.1%

Most frequent character per script

Value	Count	Frequency (%)
a	6349	10.4%
e	5527	9.1%
n	4585	7.5%
i	4463	7.3%
o	4367	7.2%
r	4326	7.1%
l	2686	4.4%
s	2679	4.4%
t	2095	3.4%
u	1636	2.7%
Other values (42)	22194	36.4%

Value	Count	Frequency (%)
	5319	99.1%
-	36	0.7%
'	8	0.1%
.	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66274	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	6349	9.6%
e	5527	8.3%
	5319	8.0%
n	4585	6.9%
i	4463	6.7%
o	4367	6.6%
r	4326	6.5%
l	2686	4.1%
s	2679	4.0%
t	2095	3.2%
Other values (46)	23878	36.0%

B_fighter
Categorical

HIGH CARDINALITY

Distinct	1774
Distinct (%)	34.5%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

Jeremy Stephens	19
Charles Oliveira	17
Nik Lentz	14
Rafael Dos Anjos	13
Tim Boetsch	13
Other values (1769)	5068

Length

Max length	25
Median length	13
Mean length	12.90221617
Min length	7

Characters and Unicode

Total characters	66369
Distinct characters	56
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	553 ?
Unique (%)	10.8%

Sample

1st row	Marlon Moraes
2nd row	Jessica Eye
3rd row	Donald Cerrone
4th row	Petr Yan
5th row	Blagoy Ivanov

Value	Count	Frequency (%)
Jeremy Stephens	19	0.4%
Charles Oliveira	17	0.3%
Nik Lentz	14	0.3%
Rafael Dos Anjos	13	0.3%
Tim Boetsch	13	0.3%
Kevin Lee	12	0.2%
Rick Story	12	0.2%
Chris Lytle	12	0.2%
Evan Dunham	12	0.2%
Gleison Tibau	12	0.2%
Other values (1764)	5008	97.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
chris	85	0.8%
mike	73	0.7%
matt	70	0.7%
john	61	0.6%
jason	57	0.5%
joe	54	0.5%
alex	54	0.5%
anthony	53	0.5%
tim	51	0.5%
silva	49	0.5%
Other values (2354)	9856	94.2%

Most occurring characters

Value	Count	Frequency (%)
a	6330	9.5%
e	5627	8.5%
	5319	8.0%
n	4626	7.0%
i	4469	6.7%
o	4405	6.6%
r	4270	6.4%
l	2873	4.3%
s	2648	4.0%
t	2175	3.3%
Other values (46)	23627	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50411	76.0%
Uppercase Letter	10591	16.0%
Space Separator	5319	8.0%
Dash Punctuation	29	< 0.1%
Other Punctuation	19	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
M	1020	9.6%
J	911	8.6%
S	896	8.5%
C	801	7.6%
A	701	6.6%
D	668	6.3%
R	657	6.2%
B	607	5.7%
T	488	4.6%
P	463	4.4%
Other values (16)	3379	31.9%

Value	Count	Frequency (%)
a	6330	12.6%
e	5627	11.2%
n	4626	9.2%
i	4469	8.9%
o	4405	8.7%
r	4270	8.5%
l	2873	5.7%
s	2648	5.3%
t	2175	4.3%
h	1639	3.3%
Other values (16)	11349	22.5%

Value	Count	Frequency (%)
'	15	78.9%
.	4	21.1%

Value	Count	Frequency (%)
	5319	100.0%

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	61002	91.9%
Common	5367	8.1%

Most frequent character per script

Value	Count	Frequency (%)
a	6330	10.4%
e	5627	9.2%
n	4626	7.6%
i	4469	7.3%
o	4405	7.2%
r	4270	7.0%
l	2873	4.7%
s	2648	4.3%
t	2175	3.6%
h	1639	2.7%
Other values (42)	21940	36.0%

Value	Count	Frequency (%)
	5319	99.1%
-	29	0.5%
'	15	0.3%
.	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66369	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	6330	9.5%
e	5627	8.5%
	5319	8.0%
n	4626	7.0%
i	4469	6.7%
o	4405	6.6%
r	4270	6.4%
l	2873	4.3%
s	2648	4.0%
t	2175	3.3%
Other values (46)	23627	35.6%

Referee
Categorical

HIGH CARDINALITY

Distinct	190
Distinct (%)	3.7%
Missing	23
Missing (%)	0.4%
Memory size	40.3 KiB

Herb Dean	726
John McCarthy	634
Mario Yamasaki	391
Dan Miragliotta	347
Marc Goddard	276
Other values (185)	2747

Length

Max length	20
Median length	13
Mean length	12.51318102
Min length	8

Characters and Unicode

Total characters	64080
Distinct characters	51
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.3%

Sample

1st row	Marc Goddard
2nd row	Robert Madrigal
3rd row	Dan Miragliotta
4th row	Kevin MacDonald
5th row	Dan Miragliotta

Value	Count	Frequency (%)
Herb Dean	726	14.1%
John McCarthy	634	12.3%
Mario Yamasaki	391	7.6%
Dan Miragliotta	347	6.7%
Marc Goddard	276	5.4%
Yves Lavigne	259	5.0%
Steve Mazzagatti	201	3.9%
Leon Roberts	179	3.5%
Keith Peterson	139	2.7%
Josh Rosenthal	119	2.3%
Other values (180)	1850	36.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
dean	726	7.1%
herb	726	7.1%
john	702	6.8%
mccarthy	634	6.2%
yamasaki	406	3.9%
mario	391	3.8%
dan	353	3.4%
miragliotta	347	3.4%
steve	284	2.8%
marc	283	2.8%
Other values (306)	5433	52.8%

Most occurring characters

Value	Count	Frequency (%)
a	7511	11.7%
e	5290	8.3%
	5164	8.1%
r	4626	7.2%
n	4053	6.3%
o	3891	6.1%
i	3543	5.5%
t	3173	5.0%
M	2341	3.7%
h	2223	3.5%
Other values (41)	22265	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47896	74.7%
Uppercase Letter	11012	17.2%
Space Separator	5164	8.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	7511	15.7%
e	5290	11.0%
r	4626	9.7%
n	4053	8.5%
o	3891	8.1%
i	3543	7.4%
t	3173	6.6%
h	2223	4.6%
s	1997	4.2%
l	1925	4.0%
Other values (16)	9664	20.2%

Value	Count	Frequency (%)
M	2341	21.3%
D	1212	11.0%
J	1158	10.5%
H	1002	9.1%
C	880	8.0%
Y	665	6.0%
L	547	5.0%
S	508	4.6%
G	465	4.2%
K	464	4.2%
Other values (13)	1770	16.1%

Value	Count	Frequency (%)
	5164	100.0%

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58908	91.9%
Common	5172	8.1%

Most frequent character per script

Value	Count	Frequency (%)
a	7511	12.8%
e	5290	9.0%
r	4626	7.9%
n	4053	6.9%
o	3891	6.6%
i	3543	6.0%
t	3173	5.4%
M	2341	4.0%
h	2223	3.8%
s	1997	3.4%
Other values (39)	20260	34.4%

Value	Count	Frequency (%)
	5164	99.8%
-	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64080	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	7511	11.7%
e	5290	8.3%
	5164	8.1%
r	4626	7.2%
n	4053	6.3%
o	3891	6.1%
i	3543	5.5%
t	3173	5.0%
M	2341	3.7%
h	2223	3.5%
Other values (41)	22265	34.7%

date
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	476
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

2016-11-19	25
2014-10-04	23
2014-05-31	22
2014-08-23	21
2014-06-28	21
Other values (471)	5032

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	51440
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019-06-08
2nd row	2019-06-08
3rd row	2019-06-08
4th row	2019-06-08
5th row	2019-06-08

Value	Count	Frequency (%)
2016-11-19	25	0.5%
2014-10-04	23	0.4%
2014-05-31	22	0.4%
2014-08-23	21	0.4%
2014-06-28	21	0.4%
1994-03-11	15	0.3%
2018-04-14	14	0.3%
2018-09-22	14	0.3%
2014-04-16	13	0.3%
2016-04-10	13	0.3%
Other values (466)	4963	96.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
2016-11-19	25	0.5%
2014-10-04	23	0.4%
2014-05-31	22	0.4%
2014-08-23	21	0.4%
2014-06-28	21	0.4%
1994-03-11	15	0.3%
2018-04-14	14	0.3%
2018-09-22	14	0.3%
2014-04-16	13	0.3%
2016-04-10	13	0.3%
Other values (466)	4963	96.5%

Most occurring characters

Value	Count	Frequency (%)
0	12442	24.2%
-	10288	20.0%
1	9021	17.5%
2	8278	16.1%
9	1823	3.5%
6	1712	3.3%
7	1678	3.3%
8	1615	3.1%
4	1545	3.0%
3	1542	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41152	80.0%
Dash Punctuation	10288	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	12442	30.2%
1	9021	21.9%
2	8278	20.1%
9	1823	4.4%
6	1712	4.2%
7	1678	4.1%
8	1615	3.9%
4	1545	3.8%
3	1542	3.7%
5	1496	3.6%

Value	Count	Frequency (%)
-	10288	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	51440	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	12442	24.2%
-	10288	20.0%
1	9021	17.5%
2	8278	16.1%
9	1823	3.5%
6	1712	3.3%
7	1678	3.3%
8	1615	3.1%
4	1545	3.0%
3	1542	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51440	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	12442	24.2%
-	10288	20.0%
1	9021	17.5%
2	8278	16.1%
9	1823	3.5%
6	1712	3.3%
7	1678	3.3%
8	1615	3.1%
4	1545	3.0%
3	1542	3.0%

location
Categorical

HIGH CARDINALITY

Distinct	157
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

Las Vegas, Nevada, USA	1216
London, England, United Kingdom	114
Chicago, Illinois, USA	81
Montreal, Quebec, Canada	81
Atlantic City, New Jersey, USA	80
Other values (152)	3572

Length

Max length	43
Median length	23
Mean length	24.58300933
Min length	12

Characters and Unicode

Total characters	126455
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Chicago, Illinois, USA
2nd row	Chicago, Illinois, USA
3rd row	Chicago, Illinois, USA
4th row	Chicago, Illinois, USA
5th row	Chicago, Illinois, USA

Value	Count	Frequency (%)
Las Vegas, Nevada, USA	1216	23.6%
London, England, United Kingdom	114	2.2%
Chicago, Illinois, USA	81	1.6%
Montreal, Quebec, Canada	81	1.6%
Atlantic City, New Jersey, USA	80	1.6%
Los Angeles, California, USA	79	1.5%
Newark, New Jersey, USA	78	1.5%
Toronto, Ontario, Canada	74	1.4%
Denver, Colorado, USA	74	1.4%
Anaheim, California, USA	72	1.4%
Other values (147)	3195	62.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	3392	18.2%
vegas	1216	6.5%
las	1216	6.5%
nevada	1216	6.5%
new	496	2.7%
brazil	405	2.2%
canada	342	1.8%
california	303	1.6%
united	273	1.5%
kingdom	255	1.4%
Other values (263)	9551	51.2%

Most occurring characters

Value	Count	Frequency (%)
a	14351	11.3%
	13521	10.7%
,	9838	7.8%
e	8456	6.7%
i	6418	5.1%
n	6102	4.8%
o	5952	4.7%
s	5598	4.4%
r	4456	3.5%
l	4447	3.5%
Other values (45)	47316	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	77730	61.5%
Uppercase Letter	25294	20.0%
Space Separator	13521	10.7%
Other Punctuation	9863	7.8%
Dash Punctuation	47	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	14351	18.5%
e	8456	10.9%
i	6418	8.3%
n	6102	7.9%
o	5952	7.7%
s	5598	7.2%
r	4456	5.7%
l	4447	5.7%
d	3797	4.9%
t	3516	4.5%
Other values (16)	14637	18.8%

Value	Count	Frequency (%)
S	4403	17.4%
A	4219	16.7%
U	3744	14.8%
N	2088	8.3%
L	1616	6.4%
C	1569	6.2%
V	1343	5.3%
B	906	3.6%
M	674	2.7%
J	505	2.0%
Other values (15)	4227	16.7%

Value	Count	Frequency (%)
,	9838	99.7%
.	25	0.3%

Value	Count	Frequency (%)
	13521	100.0%

Value	Count	Frequency (%)
-	47	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	103024	81.5%
Common	23431	18.5%

Most frequent character per script

Value	Count	Frequency (%)
a	14351	13.9%
e	8456	8.2%
i	6418	6.2%
n	6102	5.9%
o	5952	5.8%
s	5598	5.4%
r	4456	4.3%
l	4447	4.3%
S	4403	4.3%
A	4219	4.1%
Other values (41)	38622	37.5%

Value	Count	Frequency (%)
	13521	57.7%
,	9838	42.0%
-	47	0.2%
.	25	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	126455	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	14351	11.3%
	13521	10.7%
,	9838	7.8%
e	8456	6.7%
i	6418	5.1%
n	6102	4.8%
o	5952	4.7%
s	5598	4.4%
r	4456	3.5%
l	4447	3.5%
Other values (45)	47316	37.4%

Winner
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

Red	3470
Blue	1591
Draw	83

Length

Max length	4
Median length	3
Mean length	3.325427683
Min length	3

Characters and Unicode

Total characters	17106
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Red
2nd row	Red
3rd row	Red
4th row	Blue
5th row	Blue

Value	Count	Frequency (%)
Red	3470	67.5%
Blue	1591	30.9%
Draw	83	1.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
red	3470	67.5%
blue	1591	30.9%
draw	83	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	5061	29.6%
R	3470	20.3%
d	3470	20.3%
B	1591	9.3%
l	1591	9.3%
u	1591	9.3%
D	83	0.5%
r	83	0.5%
a	83	0.5%
w	83	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11962	69.9%
Uppercase Letter	5144	30.1%

Most frequent character per category

Value	Count	Frequency (%)
e	5061	42.3%
d	3470	29.0%
l	1591	13.3%
u	1591	13.3%
r	83	0.7%
a	83	0.7%
w	83	0.7%

Value	Count	Frequency (%)
R	3470	67.5%
B	1591	30.9%
D	83	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17106	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	5061	29.6%
R	3470	20.3%
d	3470	20.3%
B	1591	9.3%
l	1591	9.3%
u	1591	9.3%
D	83	0.5%
r	83	0.5%
a	83	0.5%
w	83	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17106	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	5061	29.6%
R	3470	20.3%
d	3470	20.3%
B	1591	9.3%
l	1591	9.3%
u	1591	9.3%
D	83	0.5%
r	83	0.5%
a	83	0.5%
w	83	0.5%

weight_class
Categorical

Distinct	14
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

Lightweight	989
Welterweight	969
Middleweight	725
Heavyweight	507
Light Heavyweight	502
Other values (9)	1452

Length

Max length	21
Median length	12
Mean length	12.58942457
Min length	9

Characters and Unicode

Total characters	64760
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bantamweight
2nd row	Women's Flyweight
3rd row	Lightweight
4th row	Bantamweight
5th row	Heavyweight

Value	Count	Frequency (%)
Lightweight	989	19.2%
Welterweight	969	18.8%
Middleweight	725	14.1%
Heavyweight	507	9.9%
Light Heavyweight	502	9.8%
Featherweight	442	8.6%
Bantamweight	379	7.4%
Flyweight	187	3.6%
Women's Strawweight	143	2.8%
Women's Bantamweight	111	2.2%
Other values (4)	190	3.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
heavyweight	1009	16.6%
lightweight	989	16.2%
welterweight	969	15.9%
middleweight	725	11.9%
light	502	8.2%
bantamweight	490	8.0%
featherweight	452	7.4%
women's	314	5.2%
flyweight	237	3.9%
strawweight	143	2.3%
Other values (3)	260	4.3%

Most occurring characters

Value	Count	Frequency (%)
e	10126	15.6%
t	8727	13.5%
i	7360	11.4%
h	7125	11.0%
g	6635	10.2%
w	5157	8.0%
a	2622	4.0%
l	1931	3.0%
r	1564	2.4%
L	1491	2.3%
Other values (19)	12022	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57410	88.7%
Uppercase Letter	6090	9.4%
Space Separator	946	1.5%
Other Punctuation	314	0.5%

Most frequent character per category

Value	Count	Frequency (%)
e	10126	17.6%
t	8727	15.2%
i	7360	12.8%
h	7125	12.4%
g	6635	11.6%
w	5157	9.0%
a	2622	4.6%
l	1931	3.4%
r	1564	2.7%
d	1450	2.5%
Other values (8)	4713	8.2%

Value	Count	Frequency (%)
L	1491	24.5%
W	1413	23.2%
H	1009	16.6%
M	725	11.9%
F	689	11.3%
B	490	8.0%
S	143	2.3%
O	92	1.5%
C	38	0.6%

Value	Count	Frequency (%)
'	314	100.0%

Value	Count	Frequency (%)
	946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	63500	98.1%
Common	1260	1.9%

Most frequent character per script

Value	Count	Frequency (%)
e	10126	15.9%
t	8727	13.7%
i	7360	11.6%
h	7125	11.2%
g	6635	10.4%
w	5157	8.1%
a	2622	4.1%
l	1931	3.0%
r	1564	2.5%
L	1491	2.3%
Other values (17)	10762	16.9%

Value	Count	Frequency (%)
	946	75.1%
'	314	24.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64760	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	10126	15.6%
t	8727	13.5%
i	7360	11.4%
h	7125	11.0%
g	6635	10.2%
w	5157	8.0%
a	2622	4.0%
l	1931	3.0%
r	1564	2.4%
L	1491	2.3%
Other values (19)	12022	18.6%

no_of_rounds
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.3 KiB

3	4523
5	423
2	98
1	78
4	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5144
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	3
4th row	3
5th row	3

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

Most occurring characters

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5144	100.0%

Most frequent character per category

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	5144	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5144	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	4523	87.9%
5	423	8.2%
2	98	1.9%
1	78	1.5%
4	22	0.4%

B_losses
Real number (ℝ_≥0)

ZEROS

Distinct	14
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.463646967
Minimum	0
Maximum	13
Zeros	2036
Zeros (%)	39.6%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	13
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.866390831
Coefficient of variation (CV)	1.275164622
Kurtosis	4.659612314
Mean	1.463646967
Median Absolute Deviation (MAD)	1
Skewness	1.930102916
Sum	7529
Variance	3.483414735
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	2036	39.6%
1	1293	25.1%
2	754	14.7%
3	426	8.3%
4	276	5.4%
5	133	2.6%
6	83	1.6%
7	55	1.1%
8	37	0.7%
9	26	0.5%
Other values (4)	25	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2036	39.6%
1	1293	25.1%
2	754	14.7%
3	426	8.3%
4	276	5.4%

Value	Count	Frequency (%)
13	2	< 0.1%
12	2	< 0.1%
11	8	0.2%
10	13	0.3%
9	26	0.5%

B_total_rounds_fought
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	70
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.920878694
Minimum	0
Maximum	75
Zeros	1265
Zeros (%)	24.6%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	13
95-th percentile	33
Maximum	75
Range	75
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	11.26933966
Coefficient of variation (CV)	1.263254444
Kurtosis	5.142982796
Mean	8.920878694
Median Absolute Deviation (MAD)	5
Skewness	2.064128217
Sum	45889
Variance	126.9980163
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1265	24.6%
3	486	9.4%
1	296	5.8%
6	273	5.3%
4	228	4.4%
2	208	4.0%
7	188	3.7%
5	185	3.6%
9	168	3.3%
8	150	2.9%
Other values (60)	1697	33.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1265	24.6%
1	296	5.8%
2	208	4.0%
3	486	9.4%
4	228	4.4%

Value	Count	Frequency (%)
75	1	< 0.1%
73	1	< 0.1%
69	3	0.1%
68	4	0.1%
67	1	< 0.1%

B_wins
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	23
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.4844479
Minimum	0
Maximum	23
Zeros	1813
Zeros (%)	35.2%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	9
Maximum	23
Range	23
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.216860714
Coefficient of variation (CV)	1.294799023
Kurtosis	4.017032418
Mean	2.4844479
Median Absolute Deviation (MAD)	1
Skewness	1.880474344
Sum	12780
Variance	10.34819285
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	1813	35.2%
1	933	18.1%
2	612	11.9%
3	462	9.0%
4	327	6.4%
5	214	4.2%
6	204	4.0%
7	140	2.7%
8	114	2.2%
9	101	2.0%
Other values (13)	224	4.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1813	35.2%
1	933	18.1%
2	612	11.9%
3	462	9.0%
4	327	6.4%

Value	Count	Frequency (%)
23	1	< 0.1%
22	1	< 0.1%
21	1	< 0.1%
19	3	0.1%
18	1	< 0.1%

B_Stance
Categorical

MISSING

Distinct	5
Distinct (%)	0.1%
Missing	159
Missing (%)	3.1%
Memory size	40.3 KiB

Orthodox	3829
Southpaw	975
Switch	168
Open Stance	9
Sideways	4

Length

Max length	11
Median length	8
Mean length	7.938014042
Min length	6

Characters and Unicode

Total characters	39571
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Orthodox
2nd row	Orthodox
3rd row	Orthodox
4th row	Switch
5th row	Southpaw

Value	Count	Frequency (%)
Orthodox	3829	74.4%
Southpaw	975	19.0%
Switch	168	3.3%
Open Stance	9	0.2%
Sideways	4	0.1%
(Missing)	159	3.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
orthodox	3829	76.7%
southpaw	975	19.5%
switch	168	3.4%
open	9	0.2%
stance	9	0.2%
sideways	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	8633	21.8%
t	4981	12.6%
h	4972	12.6%
O	3838	9.7%
d	3833	9.7%
r	3829	9.7%
x	3829	9.7%
S	1156	2.9%
w	1147	2.9%
a	988	2.5%
Other values (9)	2365	6.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34568	87.4%
Uppercase Letter	4994	12.6%
Space Separator	9	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	8633	25.0%
t	4981	14.4%
h	4972	14.4%
d	3833	11.1%
r	3829	11.1%
x	3829	11.1%
w	1147	3.3%
a	988	2.9%
p	984	2.8%
u	975	2.8%
Other values (6)	397	1.1%

Value	Count	Frequency (%)
O	3838	76.9%
S	1156	23.1%

Value	Count	Frequency (%)
	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39562	> 99.9%
Common	9	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
o	8633	21.8%
t	4981	12.6%
h	4972	12.6%
O	3838	9.7%
d	3833	9.7%
r	3829	9.7%
x	3829	9.7%
S	1156	2.9%
w	1147	2.9%
a	988	2.5%
Other values (8)	2356	6.0%

Value	Count	Frequency (%)
	9	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39571	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	8633	21.8%
t	4981	12.6%
h	4972	12.6%
O	3838	9.7%
d	3833	9.7%
r	3829	9.7%
x	3829	9.7%
S	1156	2.9%
w	1147	2.9%
a	988	2.5%
Other values (9)	2365	6.0%

B_Height_cms
Real number (ℝ_≥0)

Distinct	23
Distinct (%)	0.4%
Missing	8
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%

Mean	179.238641
Minimum	152.4
Maximum	210.82
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	152.4
5-th percentile	165.1
Q1	172.72
median	180.34
Q3	185.42
95-th percentile	193.04
Maximum	210.82
Range	58.42
Interquartile range (IQR)	12.7

Descriptive statistics

Standard deviation	8.515038584
Coefficient of variation (CV)	0.04750671249
Kurtosis	0.03790201698
Mean	179.238641
Median Absolute Deviation (MAD)	5.08
Skewness	-0.1024722873
Sum	920569.66
Variance	72.50588209
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
182.88	638	12.4%
177.8	608	11.8%
180.34	518	10.1%
185.42	498	9.7%
175.26	493	9.6%
172.72	425	8.3%
187.96	384	7.5%
190.5	345	6.7%
170.18	309	6.0%
167.64	302	5.9%
Other values (13)	616	12.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
152.4	3	0.1%
154.94	25	0.5%
157.48	9	0.2%
160.02	74	1.4%
162.56	80	1.6%

Value	Count	Frequency (%)
210.82	7	0.1%
208.28	6	0.1%
203.2	13	0.3%
200.66	13	0.3%
198.12	23	0.4%

B_Weight_lbs
Real number (ℝ_≥0)

Distinct	73
Distinct (%)	1.4%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	172.1103542
Minimum	115
Maximum	770
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	115
5-th percentile	125
Q1	145
median	170
Q3	185
95-th percentile	250
Maximum	770
Range	655
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	36.8470219
Coefficient of variation (CV)	0.2140895129
Kurtosis	14.9600525
Mean	172.1103542
Median Absolute Deviation (MAD)	15
Skewness	1.851543608
Sum	884303
Variance	1357.703023
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
170	1018	19.8%
155	941	18.3%
185	682	13.3%
205	519	10.1%
135	507	9.9%
145	462	9.0%
125	266	5.2%
115	137	2.7%
265	100	1.9%
240	49	1.0%
Other values (63)	457	8.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
115	137	2.7%
125	266	5.2%
135	507	9.9%
145	462	9.0%
155	941	18.3%

Value	Count	Frequency (%)
770	1	< 0.1%
430	1	< 0.1%
410	1	< 0.1%
400	1	< 0.1%
350	1	< 0.1%

R_losses
Real number (ℝ_≥0)

ZEROS

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.951399689
Minimum	0
Maximum	14
Zeros	1456
Zeros (%)	28.3%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	6
Maximum	14
Range	14
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.11821769
Coefficient of variation (CV)	1.085486332
Kurtosis	3.25954856
Mean	1.951399689
Median Absolute Deviation (MAD)	1
Skewness	1.624273114
Sum	10038
Variance	4.486846184
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	1456	28.3%
1	1284	25.0%
2	888	17.3%
3	584	11.4%
4	335	6.5%
5	233	4.5%
6	142	2.8%
7	75	1.5%
8	66	1.3%
9	41	0.8%
Other values (5)	40	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1456	28.3%
1	1284	25.0%
2	888	17.3%
3	584	11.4%
4	335	6.5%

Value	Count	Frequency (%)
14	2	< 0.1%
13	5	0.1%
12	7	0.1%
11	10	0.2%
10	16	0.3%

R_total_rounds_fought
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	79
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.85342146
Minimum	0
Maximum	80
Zeros	650
Zeros (%)	12.6%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	9
Q3	19
95-th percentile	41
Maximum	80
Range	80
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	13.36935096
Coefficient of variation (CV)	1.040139468
Kurtosis	2.691781092
Mean	12.85342146
Median Absolute Deviation (MAD)	7
Skewness	1.569306585
Sum	66118
Variance	178.739545
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	650	12.6%
3	412	8.0%
6	267	5.2%
1	253	4.9%
4	227	4.4%
5	204	4.0%
2	194	3.8%
7	191	3.7%
9	190	3.7%
10	159	3.1%
Other values (69)	2397	46.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	650	12.6%
1	253	4.9%
2	194	3.8%
3	412	8.0%
4	227	4.4%

Value	Count	Frequency (%)
80	1	< 0.1%
79	1	< 0.1%
78	2	< 0.1%
77	1	< 0.1%
76	1	< 0.1%

R_wins
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	21
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.598172628
Minimum	0
Maximum	20
Zeros	1065
Zeros (%)	20.7%
Memory size	40.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5
95-th percentile	11
Maximum	20
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.709519283
Coefficient of variation (CV)	1.030945334
Kurtosis	1.56652001
Mean	3.598172628
Median Absolute Deviation (MAD)	2
Skewness	1.344304168
Sum	18509
Variance	13.76053331
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	1065	20.7%
1	884	17.2%
2	648	12.6%
3	545	10.6%
4	421	8.2%
5	335	6.5%
6	259	5.0%
7	213	4.1%
8	171	3.3%
9	159	3.1%
Other values (11)	444	8.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1065	20.7%
1	884	17.2%
2	648	12.6%
3	545	10.6%
4	421	8.2%

Value	Count	Frequency (%)
20	4	0.1%
19	7	0.1%
18	7	0.1%
17	10	0.2%
16	21	0.4%

R_Stance
Categorical

MISSING

Distinct	5
Distinct (%)	0.1%
Missing	134
Missing (%)	2.6%
Memory size	40.3 KiB

Orthodox	3807
Southpaw	1036
Switch	150
Open Stance	15
Sideways	2

Length

Max length	11
Median length	8
Mean length	7.949101796
Min length	6

Characters and Unicode

Total characters	39825
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Orthodox
2nd row	Southpaw
3rd row	Orthodox
4th row	Orthodox
5th row	Southpaw

Value	Count	Frequency (%)
Orthodox	3807	74.0%
Southpaw	1036	20.1%
Switch	150	2.9%
Open Stance	15	0.3%
Sideways	2	< 0.1%
(Missing)	134	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
orthodox	3807	75.8%
southpaw	1036	20.6%
switch	150	3.0%
open	15	0.3%
stance	15	0.3%
sideways	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	8650	21.7%
t	5008	12.6%
h	4993	12.5%
O	3822	9.6%
d	3809	9.6%
r	3807	9.6%
x	3807	9.6%
S	1203	3.0%
w	1188	3.0%
a	1053	2.6%
Other values (9)	2485	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34785	87.3%
Uppercase Letter	5025	12.6%
Space Separator	15	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	8650	24.9%
t	5008	14.4%
h	4993	14.4%
d	3809	11.0%
r	3807	10.9%
x	3807	10.9%
w	1188	3.4%
a	1053	3.0%
p	1051	3.0%
u	1036	3.0%
Other values (6)	383	1.1%

Value	Count	Frequency (%)
O	3822	76.1%
S	1203	23.9%

Value	Count	Frequency (%)
	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39810	> 99.9%
Common	15	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
o	8650	21.7%
t	5008	12.6%
h	4993	12.5%
O	3822	9.6%
d	3809	9.6%
r	3807	9.6%
x	3807	9.6%
S	1203	3.0%
w	1188	3.0%
a	1053	2.6%
Other values (8)	2470	6.2%

Value	Count	Frequency (%)
	15	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39825	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	8650	21.7%
t	5008	12.6%
h	4993	12.5%
O	3822	9.6%
d	3809	9.6%
r	3807	9.6%
x	3807	9.6%
S	1203	3.0%
w	1188	3.0%
a	1053	2.6%
Other values (9)	2485	6.2%

R_Height_cms
Real number (ℝ_≥0)

Distinct	23
Distinct (%)	0.4%
Missing	4
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	179.2740895
Minimum	152.4
Maximum	210.82
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	152.4
5-th percentile	165.1
Q1	172.72
median	180.34
Q3	185.42
95-th percentile	193.04
Maximum	210.82
Range	58.42
Interquartile range (IQR)	12.7

Descriptive statistics

Standard deviation	8.638977791
Coefficient of variation (CV)	0.04818865802
Kurtosis	0.05138414932
Mean	179.2740895
Median Absolute Deviation (MAD)	5.08
Skewness	-0.09691256661
Sum	921468.82
Variance	74.63193727
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
185.42	630	12.2%
182.88	623	12.1%
175.26	507	9.9%
177.8	506	9.8%
180.34	489	9.5%
187.96	405	7.9%
172.72	388	7.5%
167.64	353	6.9%
190.5	326	6.3%
170.18	304	5.9%
Other values (13)	609	11.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
152.4	2	< 0.1%
154.94	25	0.5%
157.48	7	0.1%
160.02	63	1.2%
162.56	114	2.2%

Value	Count	Frequency (%)
210.82	15	0.3%
208.28	3	0.1%
203.2	15	0.3%
200.66	6	0.1%
198.12	29	0.6%

R_Weight_lbs
Real number (ℝ_≥0)

Distinct	58
Distinct (%)	1.1%
Missing	3
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	172.0758607
Minimum	115
Maximum	345
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	115
5-th percentile	125
Q1	145
median	170
Q3	185
95-th percentile	250
Maximum	345
Range	230
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	35.16407461
Coefficient of variation (CV)	0.2043521645
Kurtosis	0.828507353
Mean	172.0758607
Median Absolute Deviation (MAD)	15
Skewness	0.9548348799
Sum	884642
Variance	1236.512143
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
170	1034	20.1%
155	891	17.3%
185	744	14.5%
205	507	9.9%
145	493	9.6%
135	487	9.5%
125	268	5.2%
115	129	2.5%
265	105	2.0%
240	77	1.5%
Other values (48)	406	7.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
115	129	2.5%
125	268	5.2%
135	487	9.5%
145	493	9.6%
155	891	17.3%

Value	Count	Frequency (%)
345	2	< 0.1%
323	2	< 0.1%
300	4	0.1%
295	1	< 0.1%
290	1	< 0.1%

B_age
Real number (ℝ_≥0)

MISSING

Distinct	31
Distinct (%)	0.6%
Missing	172
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%

Mean	29.17196299
Minimum	18
Maximum	51
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	18
5-th percentile	23
Q1	26
median	29
Q3	32
95-th percentile	36
Maximum	51
Range	33
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.078538253
Coefficient of variation (CV)	0.1398102093
Kurtosis	0.3776576532
Mean	29.17196299
Median Absolute Deviation (MAD)	3
Skewness	0.4408801328
Sum	145043
Variance	16.63447428
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
28	505	9.8%
29	473	9.2%
30	470	9.1%
27	448	8.7%
31	424	8.2%
26	398	7.7%
25	337	6.6%
32	325	6.3%
33	265	5.2%
24	242	4.7%
Other values (21)	1085	21.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	2	< 0.1%
19	2	< 0.1%
20	19	0.4%
21	47	0.9%
22	109	2.1%

Value	Count	Frequency (%)
51	1	< 0.1%
47	1	< 0.1%
46	2	< 0.1%
45	3	0.1%
44	3	0.1%

R_age
Real number (ℝ_≥0)

MISSING

Distinct	29
Distinct (%)	0.6%
Missing	64
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%

Mean	29.44232283
Minimum	19
Maximum	47
Zeros	0
Zeros (%)	0.0%
Memory size	40.3 KiB

Quantile statistics

Minimum	19
5-th percentile	23
Q1	26
median	29
Q3	32
95-th percentile	37
Maximum	47
Range	28
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.141927357
Coefficient of variation (CV)	0.1406793676
Kurtosis	-0.0535958144
Mean	29.44232283
Median Absolute Deviation (MAD)	3
Skewness	0.2877907512
Sum	149567
Variance	17.15556223
Monotocity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
30	469	9.1%
29	467	9.1%
31	442	8.6%
27	439	8.5%
28	432	8.4%
26	397	7.7%
32	392	7.6%
25	306	5.9%
33	291	5.7%
34	268	5.2%
Other values (19)	1177	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	6	0.1%
20	25	0.5%
21	43	0.8%
22	100	1.9%
23	174	3.4%

Value	Count	Frequency (%)
47	1	< 0.1%
46	2	< 0.1%
45	1	< 0.1%
44	5	0.1%
43	3	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	#	R_fighter	B_fighter	Referee	date	location	Winner	weight_class	no_of_rounds	B_losses	B_total_rounds_fought	B_wins	B_Stance	B_Height_cms	B_Weight_lbs	R_losses	R_total_rounds_fought	R_wins	R_Stance	R_Height_cms	R_Weight_lbs	B_age	R_age
0	0	0	Henry Cejudo	Marlon Moraes	Marc Goddard	2019-06-08	Chicago, Illinois, USA	Red	Bantamweight	5	1.0	9.0	4.0	Orthodox	167.64	135.0	2.0	27.0	8.0	Orthodox	162.56	135.0	31.0	32.0
1	1	1	Valentina Shevchenko	Jessica Eye	Robert Madrigal	2019-06-08	Chicago, Illinois, USA	Red	Women's Flyweight	5	6.0	29.0	4.0	Orthodox	167.64	125.0	2.0	25.0	5.0	Southpaw	165.10	125.0	32.0	31.0
2	2	2	Tony Ferguson	Donald Cerrone	Dan Miragliotta	2019-06-08	Chicago, Illinois, USA	Red	Lightweight	3	8.0	68.0	23.0	Orthodox	185.42	155.0	1.0	33.0	14.0	Orthodox	180.34	155.0	36.0	35.0
3	3	3	Jimmie Rivera	Petr Yan	Kevin MacDonald	2019-06-08	Chicago, Illinois, USA	Blue	Bantamweight	3	0.0	9.0	4.0	Switch	170.18	135.0	2.0	20.0	6.0	Orthodox	162.56	135.0	26.0	29.0
4	4	4	Tai Tuivasa	Blagoy Ivanov	Dan Miragliotta	2019-06-08	Chicago, Illinois, USA	Blue	Heavyweight	3	1.0	8.0	1.0	Southpaw	180.34	250.0	1.0	7.0	3.0	Southpaw	187.96	264.0	32.0	26.0
5	5	5	Tatiana Suarez	Nina Ansaroff	Robert Madrigal	2019-06-08	Chicago, Illinois, USA	Red	Women's Strawweight	3	2.0	18.0	4.0	Orthodox	165.10	115.0	0.0	8.0	4.0	NaN	165.10	115.0	33.0	28.0
6	6	6	Aljamain Sterling	Pedro Munhoz	Marc Goddard	2019-06-08	Chicago, Illinois, USA	Red	Bantamweight	3	4.0	23.0	8.0	Orthodox	167.64	135.0	3.0	32.0	9.0	Orthodox	170.18	135.0	32.0	29.0
7	7	7	Karolina Kowalkiewicz	Alexa Grasso	Kevin MacDonald	2019-06-08	Chicago, Illinois, USA	Blue	Women's Strawweight	3	2.0	10.0	2.0	Orthodox	165.10	115.0	4.0	25.0	5.0	Orthodox	160.02	115.0	25.0	33.0
8	8	8	Ricardo Lamas	Calvin Kattar	Dan Miragliotta	2019-06-08	Chicago, Illinois, USA	Blue	Featherweight	3	1.0	10.0	3.0	Orthodox	180.34	145.0	5.0	34.0	10.0	Orthodox	172.72	145.0	31.0	37.0
9	9	9	Yan Xiaonan	Angela Hill	Robert Madrigal	2019-06-08	Chicago, Illinois, USA	Red	Women's Strawweight	3	6.0	26.0	4.0	Orthodox	160.02	115.0	0.0	9.0	3.0	Orthodox	165.10	115.0	34.0	29.0

Last rows

	Unnamed: 0	#	R_fighter	B_fighter	Referee	date	location	Winner	weight_class	no_of_rounds	B_total_rounds_fought	B_wins	B_Stance	B_Height_cms	B_Weight_lbs	R_losses	R_total_rounds_fought	R_wins	R_Stance	R_Height_cms	R_Weight_lbs	B_age	R_age
5134	5134	5134	Patrick Smith	Ray Wizard	John McCarthy	1994-03-11	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	NaN	NaN	NaN	1.0	1.0	0.0	Orthodox	187.96	225.0	NaN	30.0
5135	5135	5135	Scott Morris	Sean Daugherty	John McCarthy	1994-03-11	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	NaN	182.88	175.0	0.0	0.0	0.0	Orthodox	177.80	210.0	18.0	NaN
5136	5136	5136	Royce Gracie	Gerard Gordeau	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Catch Weight	1	2.0	2.0	Orthodox	195.58	216.0	0.0	2.0	2.0	Southpaw	185.42	175.0	34.0	26.0
5137	5137	5137	Jason DeLucia	Trent Jenkins	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	NaN	187.96	185.0	0.0	0.0	0.0	Southpaw	180.34	190.0	NaN	24.0
5138	5138	5138	Royce Gracie	Ken Shamrock	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	1.0	1.0	Orthodox	185.42	205.0	0.0	1.0	1.0	Southpaw	185.42	175.0	29.0	26.0
5139	5139	5139	Gerard Gordeau	Kevin Rosier	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	1.0	1.0	Orthodox	193.04	275.0	0.0	1.0	1.0	Orthodox	195.58	216.0	NaN	34.0
5140	5140	5140	Ken Shamrock	Patrick Smith	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	Orthodox	187.96	225.0	0.0	0.0	0.0	Orthodox	185.42	205.0	30.0	29.0
5141	5141	5141	Royce Gracie	Art Jimmerson	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	Orthodox	185.42	196.0	0.0	0.0	0.0	Southpaw	185.42	175.0	30.0	26.0
5142	5142	5142	Kevin Rosier	Zane Frazier	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	Orthodox	195.58	250.0	0.0	0.0	0.0	Orthodox	193.04	275.0	NaN	NaN
5143	5143	5143	Gerard Gordeau	Teila Tuli	Joao Alberto Barreto	1993-11-12	Denver, Colorado, USA	Red	Open Weight	1	0.0	0.0	Orthodox	182.88	430.0	0.0	0.0	0.0	Orthodox	195.58	216.0	24.0	34.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values